In this paper, we explore one aspect of knowledge discovery from simulators, the landscape characterization problem, where the aim is to identify regions in ...

In this paper, we explore one aspect of knowledge discov- ery from simulators, the landscape characterization prob- lem, where the aim is to identify ...

SimLearn uses active-learning techniques to efficiently address the "landscape characterization problem" of simulators, and involves an iterative process in ...

Abstract. In this paper, we explore one aspect of knowledge discov- ery from simulators, the landscape characterization prob-.

Jul 1, 2007 · A computational method, SimLearn, has been devised to facilitate efficient knowledge discovery from simulators.

On each iteration, the algorithm models the knowledge it has gained through previous simulation trials and then chooses which simulation trials to run next.

Apr 20, 2006 · In this paper, we explore one aspect of knowledge discovery from simulators, the landscape characterization problem, where the aim is to ...

A computational method, SimLearn, has been devised to facilitate efficient knowledge discovery from simulators. Simulators are complex computer programs ...

Abstract: Computer simulation models help construction engineers evaluate different strategies when planning field operations.

This article provides a comprehensive and in-depth overview of our work on knowledge discovery in simulations. Application-wise, we focus on manufacturing ...